Maxent output produced using SDMtune version 1.3.2 (Vignali S. et al., 2020).

ROC curve

Thresholds

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Threshold Cloglog value Fractional predicted area Training omission rate
Minimum training presence 0.04880483 0.9899736 0.0000000
Equal training sensitivity and specificity 0.52061022 0.2715919 0.2709552
Maximum training sensitivity plus specificity 0.48844656 0.3175022 0.2105263

Distribution map

Variable importance

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Variable Permutation_importance sd
dist2000 30.5 0.008
depth 26.9 0.011
month 25.3 0.008
thetao 10.1 0.004
chl 3.3 0.004
slope 2.7 0.003
uv 0.6 0.002
wz 0.5 0.001
mltost 0.1 0.001

Model settings

Shown below the settings used to train the model:

  • Model type: Maxent
  • Train locations: 6198
    • presence: 513
    • absence/background: 5685
  • Continuous variables: thetao, mltost, chl, uv, wz, slope, depth, dist2000
  • Categorical variables: month
  • Output type: cloglog
  • Feature Class combination: lqph
  • Regularization multiplier: 2
  • Do clamping for predictions: TRUE,
  • Extra arguments: removeduplicates=false, addsamplestobackground=false

References

  • Vignali, S., Barras, A. G., Arlettaz, R., Braunisch, V. (2020). SDMtune: An R package to tune and evaluate species distribution models. Ecology and Evolution, 10(20), 11488–11506. https://doi.org/10.1002/ece3.6786
  • Vignali, S., Barras, A. G., Braunisch, V. (2025). SDMtune: Species Distribution Model Selection. R package version 1.3.2. https://CRAN.R-project.org/package=SDMtune